{"title":"合成孔径声呐多接收机数据的高效成像算法","authors":"Haoran Wu, Jinsong Tang","doi":"10.1109/CISP-BMEI53629.2021.9624220","DOIUrl":null,"url":null,"abstract":"For the problem of the low computational efficiency in the existing CSA based on MSR for the multiple-receiver SAS because it is required to perform image reconstruction for each receiver, an efficiency CSA based on MSR for the multiple-receiver SAS is proposed in this paper. Firstly, to make that the range cell migration, azimuth modulation, and range modulation of different receiver can be represented by that of the reference receiver, the signal of each receiver is shifted to the same shortest range. Secondly, to obtain the imaging result by performing one imaging reconstruction, the multiple receivers signal shifted is transformed into the monostatic signal by azimuth reconstruction. Thirdly, the imaging reconstruction based on MSR's 2D spectrum is derived by utilizing the chirp scaling principle. Finally, the effectiveness of the proposed algorithm is validated by the simulation experiments.","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Efficiency Imaging Algorithm for the Multiple receivers Data in Synthetic Aperture Sonar\",\"authors\":\"Haoran Wu, Jinsong Tang\",\"doi\":\"10.1109/CISP-BMEI53629.2021.9624220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the problem of the low computational efficiency in the existing CSA based on MSR for the multiple-receiver SAS because it is required to perform image reconstruction for each receiver, an efficiency CSA based on MSR for the multiple-receiver SAS is proposed in this paper. Firstly, to make that the range cell migration, azimuth modulation, and range modulation of different receiver can be represented by that of the reference receiver, the signal of each receiver is shifted to the same shortest range. Secondly, to obtain the imaging result by performing one imaging reconstruction, the multiple receivers signal shifted is transformed into the monostatic signal by azimuth reconstruction. Thirdly, the imaging reconstruction based on MSR's 2D spectrum is derived by utilizing the chirp scaling principle. Finally, the effectiveness of the proposed algorithm is validated by the simulation experiments.\",\"PeriodicalId\":131256,\"journal\":{\"name\":\"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP-BMEI53629.2021.9624220\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficiency Imaging Algorithm for the Multiple receivers Data in Synthetic Aperture Sonar
For the problem of the low computational efficiency in the existing CSA based on MSR for the multiple-receiver SAS because it is required to perform image reconstruction for each receiver, an efficiency CSA based on MSR for the multiple-receiver SAS is proposed in this paper. Firstly, to make that the range cell migration, azimuth modulation, and range modulation of different receiver can be represented by that of the reference receiver, the signal of each receiver is shifted to the same shortest range. Secondly, to obtain the imaging result by performing one imaging reconstruction, the multiple receivers signal shifted is transformed into the monostatic signal by azimuth reconstruction. Thirdly, the imaging reconstruction based on MSR's 2D spectrum is derived by utilizing the chirp scaling principle. Finally, the effectiveness of the proposed algorithm is validated by the simulation experiments.